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This article introduces the relevant knowledge of "what are the PEP knowledge points in Python". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

What is PEP?

The full name of PEP is Python Enhancement Proposals, in which Enhancement means enhancement and improvement, and Proposals can be translated as a proposal or proposal, so taken together, the more common translation is Python enhancement proposal or Python improvement proposal.

Personally, I prefer the former translation because it is more appropriate. Python core developers mainly discuss issues, proposals, plans, etc., through mailing lists. PEP usually aggregates multi-party information, and after review and approval by some core developers, the final official document plays the role of public announcement, so I think it is more appropriate to translate it into "proposal".

PEP's official website is: https://www.python.org/dev/peps/, which is the address of PEP 0. The addresses of other PEP are concatenated with numbers, for example, https://www.python.org/dev/peps/pep-0020/ is a link to PEP 20, and so on.

The first PEP was born in 2000 and now happens to be an 18-year-old adult. So far, it has 478 "brothers and sisters".

Officials divide PEP into three categories:

I-Informational PEP

P-Process PEP

S-Standards Track PEP

Its meaning is as follows:

Information class: this type of PEP is to provide information, there are notification information, but also guidance information and so on. Examples include PEP 20 (The Zen of Python, the famous Python Zen) and PEP 404 (Python2.8 Un-release Schedule, which declares that there will be no Python2.8 version).

Process class: this type of PEP is mainly peripheral information outside the Python itself. Examples include PEP 1 (PEP Purpose and Guidelines, the guide to PEP) and PEP 347 (Migrating the Python CVS to Subversion, about migrating Python code warehouses).

Standard class: this type of PEP mainly describes the new features and practices of Python (implementation), and is the largest number of proposals. no, no, no.

Each PEP starts as a Draft, and then goes through a process, so there is a different state. The following is a flowchart:

A-Accepted (Standards Track only) or Active proposal accepted (standard tracking only) or valid proposal

D-Deferred proposal extension proposal

F-Final proposal final proposal

P-Provisional proposal tentative proposal

R-Rejected proposal rejected proposal

Proposal for S-Superseded proposal to be replaced

W-Withdrawn proposal withdraws the proposal

In PEP 0 (Index of Python Enhancement Proposals (PEPs)), all PEP are officially listed, and you can search by serial number, by type, and by status. In PEP 1 (PEP Purpose and Guidelines), officials specify PEP's intentions, how to submit PEP, how to repair and update PEP, and the mechanism for PEP review, and so on.

Why read PEP?

Whether you are a rookie new to Python, an experienced practitioner, or an experienced hacker, you should read the Python enhancement proposal.

In my opinion, reading PEP has at least the following benefits:

(1) learn what features Python has, how they differ from other language features, why they are designed, how they are designed, and how to make better use of them.

(2) follow up the community dynamics, learn about the best practices in the industry, adjust the learning direction, and improve the content of the work business.

(3) participate in the discussion of hot topics or submit a new PEP to contribute to the Python community.

In the final analysis, learning to program with Python has only scratched the surface. The PEP proposal is a way to learn more about Python, a key to truly mastering the Python language, and a guide to using Python handy.

Which PEP is required to read?

As mentioned earlier, the number of PEP proposals has accumulated to 478, and we don't need to be familiar with every PEP, it's not necessary. Below, I list some PEP, which I recommend you to read:

PEP 0-Index of Python Enhancement Proposals

PEP 7-Style Guide for C Code,C extension

PEP 8-Style Guide for Python Code, coding specification (required)

PEP 20-Zen of The Zen of Python,Python

PEP 202-List Comprehensions, list generation

PEP 274-Dict Comprehensions, dictionary generator

PEP 234-Iterators, iterator

PEP 257-Docstring Conventions, documentation annotation specification

PEP 279-The enumerate () built-in function,enumerate enumeration

PEP 282-A Logging System, logging module

PEP 285-Adding a bool type, Boolean

PEP 289-Generator Expressions, generator expression

PEP 318-Decorators for Functions and Methods, decorator

PEP 342-Coroutines via Enhanced Generators, Synergy

PEP 343-The "with" Statement,with statement

PEP 380-Syntax for Delegating to a Subgenerator,yield from syntax

PEP 405-Python Virtual Environments, virtual environment

PEP 471-os.scandir () function, traversing the directory

PEP 484-Type Hints, type constraint

PEP 492-Coroutines with async and await syntax,async/await syntax

PEP 498-Literal String Interpolation Python, string interpolation

PEP 525-Asynchronous Generators, Asynchronous Generator

PEP 572-Assignment Expressions, assignment within expression (most controversial)

Change PEP 3105-Make print a function,print to function

PEP 3115-Metaclasses in Python 3000, metaclass

PEP 3120-Using UTF-8 as the default source encoding

PEP 3333-Python Web Server Gateway Interface v1.0.1 Magi Web development

After the introduction of the decision-making level of PEP 8000-Python Language Governance Proposal Overview,GvR, it is related to the new decision-making plan.

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